iconicchain is one of the fastest-growing and largest Finland-based Fintech/Regtech companies recognized by the European Union as one of the top 10 digital startups (winners of the EIT Digital Challenge). We are market leaders in multiple markets for securitization solutions, working with some of the largest banks in Europe as well as national and EU-level regulators and investors. iconicchain is also the provider of the solution for one of the world’s largest central bank-operated asset-tracking solutions.
Headquartered in Finland, we also have subsidiaries in Germany and Hungary. You will be developing one of the coolest solutions ever launched as part of Finland's top software development and AI/ML development teams. You will get the chance to become one of the top experts in developing new AI solutions for the financial sector, serving the needs of some of the most demanding customers: highly regulated financial institutions.
You will be responsible for the data analysis, data preparation, implementation, and deployment of machine learning/deep learning models and working with our developers to build containerized releases of our software. You will also work on projects that involve Large Language Models (LLMs) and Computer Vision (CV). Projects are mainly aimed at Information Extraction from financial and business documents for further processing. Our machine learning team is small so good problem-solving capability and the ability to work independently on tasks are necessary to succeed in the job. At the same time, this will also give you a possibility to affect how the projects are developed and to shape the customer's experience. There is plenty of room for creativity and it is always warmly welcomed.
Implementing deep learning algorithms in PyTorch
Experience in full-cycle ML model development (from Jupyter Notebook to deployment)
Understanding of Math, Linear Algebra, and Statistics underlying ML algorithms
Experience with modern CV and Natural Language Processing (NLP) techniques
Creating and configuring containerized ML applications using Docker
Hands-on programming experience with Python
Linux systems scripting using Bash and Python
Courage and will to explore new creative ways to solve problems with attention to details
Business-oriented approach to problem-solving
Knowledge or experience of Key Information Extraction task (nice to have)
Hands-on experience with local LLMs (nice to have)
Experience with fine-tuning local LLMs (big plus)
Ubuntu
Python
Bash
GitHub
PyTorch
You will be part of a top-notch team developing cutting-edge stuff few others not even heard about
Flexible working conditions
Hands-on, no bureaucracy approach
Freedom to shape your domain and have an instant impact
Other perks we would love to tell you about.
Central office
Near public transit
Flexible working hours
Remote work is allowed
Lunch benefit
Free coffee/tea
Free office snacks
Gym access
Gamified office
Social gatherings
This job comes with several perks and benefits